MURAL - Maynooth University Research Archive Library



    Automated road markings extraction from mobile laser scanning data


    Kumar, Pankaj and McElhinney, Conor P. and Lewis, Paul and McCarthy, Tim (2014) Automated road markings extraction from mobile laser scanning data. International Journal of Applied Earth Observation and Geoinformation, 32. pp. 125-137. ISSN 0303-2434

    [img]
    Preview
    Download (773kB) | Preview
    Official URL: http://dx.doi.org/10.1016/j.jag.2014.03.023


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Road markings are used to provide guidance and instruction to road users for safe and comfortable driving. Enabling rapid, cost-effective and comprehensive approaches to the maintenance of route networks can be greatly improved with detailed information about location, dimension and condition of road markings. Mobile Laser Scanning (MLS) systems provide new opportunities in terms of collecting and processing this information. Laser scanning systems enable multiple attributes of the illuminated target to be recorded including intensity data. The recorded intensity data can be used to distinguish the road markings from other road surface elements due to their higher retro-reflective property. In this paper, we present an automated algorithm for extracting road markings from MLS data. We describe a robust and automated way of applying a range dependent thresholding function to the intensity values to extract road markings. We make novel use of binary morphological operations and generic knowledge of the dimensions of road markings to complete their shapes and remove other road surface elements introduced through the use of thresholding. We present a detailed analysis of the most applicable values required for the input parameters involved in our algorithm. We tested our algorithm on different road sections consisting of multiple distinct types of road markings. The successful extraction of these road markings demonstrates the effectiveness of our algorithm.

    Item Type: Article
    Additional Information: The definitive published version of this article is available at DOI: 10.1016/j.jag.2014.03.023
    Keywords: Road markings; Mobile laser scanning; LiDAR; Automation; Extraction;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 6943
    Identification Number: https://doi.org/10.1016/j.jag.2014.03.023
    Depositing User: Dr. Paul Lewis
    Date Deposited: 02 Feb 2016 14:31
    Journal or Publication Title: International Journal of Applied Earth Observation and Geoinformation
    Publisher: Elsevier
    Refereed: Yes
    Funders: Irish Research Council (IRC), Pavement Management Services Ltd., Science Foundation Ireland (SFI), National Roads Authority
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year